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  • 标题:Application of Linear Canonical Transform to AWGN Channels
  • 本地全文:下载
  • 作者:Kamalesh Kumar Sharma
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2011
  • 卷号:4
  • 期号:4
  • 出版社:SERSC
  • 摘要:The channel information capacity theorem for Shannon’s time-continuous additive white Gaussian noise channel (AWGN), widely known as the Shannon-Hartley Law, expresses the information capacity of a channel bandlimited in the conventional Fourier domain in terms of the signal-to-noise ratio in it. In this paper a modification of the Shannon’s time-continuous AWGN channel using the linear canonical transform (LCT) is presented and an expression for its capacity is derived. The Shannon-Hartley Law is shown as a special case of it. It can be observed that the capacity can be increased over and above the value predicted from the Shannon-Hartley law under some conditions. The channel capacity for AWGN channels is found to be a function of the LCT parameter.
  • 关键词:Fractional Fourier transform; linear canonical transform; Shannon-Hartley;law; channel capacity
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